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Entanglement and Distinguishability of Quantum States
Entanglement and Distinguishability of Quantum States

The Future of Computer Science
The Future of Computer Science

PhD position: Quantum information processing with single electron spins
PhD position: Quantum information processing with single electron spins

Quantum mechanical approach to machine learning of spectra 2017
Quantum mechanical approach to machine learning of spectra 2017

Buzek_Teheran_tutorials_abstract
Buzek_Teheran_tutorials_abstract

Subject Group of Applied Physics
Subject Group of Applied Physics

... Description and rationale: The aim of this course is to provide some fundamental knowledge and practical tools in quantum theory in order to explain various interesting phenomena reflecting the nature of the electron as a wave, or not as a particle. Only a few assumptions on each problem setup lead ...
Quantum Information (QI) - BYU Physics and Astronomy
Quantum Information (QI) - BYU Physics and Astronomy

... What will we do? CP, HW, IP, MT, F How do you communicate? Sources for QI? (Linear Algebra prerequisite) What is Linear Algebra? ...
Quantum Number Table
Quantum Number Table

PHYS 481/681 Quantum Mechanics Stephen Lepp August 29, 2016
PHYS 481/681 Quantum Mechanics Stephen Lepp August 29, 2016

... • Office Hours TTh 12:45-1:30 or by arrangement. • Textbook “Quantum Mechanics” by Griffith • Homepage for course http://www.physics.unlv.edu/~lepp/classes/phy481/index.html • Grading will be distributed among: – Homework. I will assign problems, unless stated otherwise, problems are due the next cl ...
in-class worksheet
in-class worksheet

A quantum walk based search algorithm, and its optical realisation
A quantum walk based search algorithm, and its optical realisation

Modeling Quantum Fields with Oscillators
Modeling Quantum Fields with Oscillators

... ...
Materials Computation Center R.M. Martin and J.P. Leburton
Materials Computation Center R.M. Martin and J.P. Leburton

... J.P. Leburton (ECE) and R.M. Martin (Physics) Research Objectives: Understand many-body effects in semiconductor quantum dots (QDs) for applications in quantum information processing. Approach: We concentrate on material and design parameters that influence the exchange interaction between conductio ...
Information quantique
Information quantique

... Today, the most active ones are Quantum metrology, where multiparticle entangled quantum states are employed to improve high-resolution measurements, for example in an atomic clock. Quantum cryptography, where the use of quantum objects (typically photons) as information carriers makes it possible t ...
David Williams (University of Cambridge)
David Williams (University of Cambridge)

... A number of new ways of manipulating information, generically known as quantum information processing, have been postulated in the last 15-20 years. Several have been demonstrated experimentally, but there remains a large gap between principle and practice, particularly in quantum computation. The s ...


... 5.112 Principles of Chemical Science Fall 2005 ...
Quantum Measurements PHYSICS COLLOQUIUM Klaus Mølmer
Quantum Measurements PHYSICS COLLOQUIUM Klaus Mølmer

... its use and consequences. We will discuss how, e.g., an atomic quantum system is not only driven by the fields that we shine on the atoms but also by the measurements that we perform on the fields that they emit. This has far reaching applications for our means to control quantum systems, and a few ...
Theory of quantum light and matter Research supervisor Prof. Paul Eastham
Theory of quantum light and matter Research supervisor Prof. Paul Eastham

... in photonic materials and structures; and (c)the disappearance of quantum coherence in complex systems such as solids. Understanding these effects teaches us how the deceptively simple laws of quantum mechanics generate a vast variety of electrical and optical properties, and leads to the creation o ...
Quantum Model Worksheet
Quantum Model Worksheet

Quantum Model Worksheet
Quantum Model Worksheet

Topological Insulators
Topological Insulators

Prof. Dr. Klaus Hornberger Universitat Duisburg
Prof. Dr. Klaus Hornberger Universitat Duisburg

Link between the hierarchy of fractional quantum Hall states and
Link between the hierarchy of fractional quantum Hall states and

... Link between the hierarchy of fractional quantum Hall states and Haldane’s conjecture for quantum spin chains Masaaki Nakamura Department of Physics, Tokyo Institute of Technology, Tokyo 152-8551, Japan ...
Department of Physics and Physical Oceanography Sigma Pi Sigma INDUCTION
Department of Physics and Physical Oceanography Sigma Pi Sigma INDUCTION

Topological Insulators
Topological Insulators

... A Plan for Hybrid Entanglement ...
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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning. Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer. However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation. This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
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